METHOD FOR SHORT-RANGE PROXIMITY DERIVATION AND TRACKING

• US 20140111380A1
• Filed: 02/11/2013
• Published: 04/24/2014
• Est. Priority Date: 10/22/2012
• Status: Abandoned Application

• Current Assignee: Qualcomm technologies international, ltd. (Qualcomm, Inc.)
• Original Assignee: Cambridge Silicon Radio Limited (Qualcomm, Inc.)
• Inventors: Graube, Nicolas, Tarlow, Ben, Jarvis, Murray, Gibbs, Simon, Athsani, Athellina Rosina Ahmad, Saund, Saranjit Singh
• Application Number:
  US13/763,899
• Publication Number:
  US 20140111380A1
• Time in Patent Office: Days
• US Class Current: 342/451
• CPC Class Codes: G01S 5/02521 using a radio-map
• CPC Class Codes: G01S 5/0294 Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering
• CPC Class Codes: G01S 5/14 Determining absolute distances from a plurality of spaced points of known location

Abstract

A system has short-range transmission devices, each of which corresponds to a range of zones in a three dimensional space. The short-range devices are positioned at various locations within the three dimensional space and periodically broadcast signals. The zones are determined according to a plurality of signal characteristics sensed by client devices proximate to the short-range beacon transmission devices. In addition, the zones are assigned definitions.

Claims

1. A method for determining a plurality of zones in a predetermined area associated with a system including a server, a plurality of transponders and a plurality of client devices configured to communicate with the server, the method comprising at least one client device:

sensing at least one signal characteristic from at least one transponder of the plurality of transponders;

determining proximity between the client device and the at least one transponder based on the signal characteristics; and

mapping the determined proximity to at least one zone.

2. The method of claim 1, further includes a step of assigning a definition to the at least one zone.

3. The method of claim 1, wherein the step of sensing the at least one signal characteristic senses signal characteristics of a signal that is emitted asynchronously by the at least one transponder at regular intervals.

4. The method of claim 1, further including a step of calibrating the client device at least with respect to a reference transponder prior to sensing the at least one signal characteristic.

5. The method of claim 1, wherein the step of sensing the at least one signal characteristic further includes a step of determining at least one definition of a region of interest associated with the at least one transponder.

6. The method of claim 1, wherein the step of sensing the at least one signal characteristic includes sensing received signal strength of a signal broadcast by the at least one transponder.

7. The method of claim 6, wherein the step of determining proximity includes:

receiving a value indicating broadcast signal strength of the signal broadcast by the at least one transponder; and

comparing the sensed signal strength to broadcast signal strength.

8. A method for determining a plurality of zones in a predetermined area associated with a system including a server, a plurality of transponders and a plurality of client devices configured to communicate with the server, the method comprising the server:

receiving, from at least one of the client device, a plurality of sensed signal characteristics, derived from signals broadcast by the plurality of transponders;

determining respective proximities between the at least one client device and the plurality of transponders according to the sensed signal characteristics; and

mapping the proximity determinations to at least one zone.

9. The method of claim 8 wherein the at least one zone includes a plurality of zones and the method further includes a step of assigning a plurality of definitions to the respective plurality of zones.

10. The method of claim 9, further includes a step of sending information about the zones including the plurality of definitions of the zones to the at least one client device.

11. The method of claim 10, wherein the step of sending the information about the zones further includes sending information about ones of the plurality of zones corresponding to signals sensed by the at least one client device at a predetermined instant to the at least one client device.

12. The method of claim 8, wherein the step of receiving the plurality of sensed signal characteristics further includes receiving at least one of a range of signal strengths, a range of times of arrival of a distinguishable sequence of the signals, a range of round trip times of the signals, and a range of phases of the signals.

13. The method of claim 8, wherein the step of receiving the plurality of signal characteristics further includes receiving distinct signal characteristics each corresponding to a respective one of the plurality of transponders at a respective location.

14. The method of claim 8, wherein the step of receiving the plurality of signal characteristics further includes receiving at least one of the plurality of signal characteristics of a signal broadcast by at least one of the transponders located outside of the predetermined area.

15. The method of claim 8, wherein the step of mapping the proximity determinations to the at least one zone further includes a step of mapping the at least one zone to a layout of the predetermined area.

16. The method of claim 8, wherein the step of mapping the proximity determinations to the at least one zone further includes assigning corresponding definitions to the zones and the method further includes determining a plurality of distinct zones and assigning distinct definitions corresponding to the plurality of distinct zones based on multiple ones of the plurality of transponders at respectively different locations.

17. The method of claim 8, wherein the step of mapping the proximity determinations to the at least one zone further includes determining distinct zones based on an attenuation and amplification of the corresponding signals due to a presence of known physical elements in the predetermined area.

18. The method of claim 8, wherein the step of mapping the proximity determinations to the at least one zone further includes determining at least an other zone determined based on a combination of two zones defined by two distinct transponders located in the predetermined area.

19. The method of claim 8, further includes a step of receiving context information related to the transponders including at least one of:

items proximate to the transponders, battery power and transponder condition.

20. A method for determining a plurality of zones in a predetermined area associated with a system including a server, multiple transponders and multiple client devices configured to communicate with the server, the steps including:

communicating a plurality of sensed signal characteristics among the server, the multiple transponders and the multiple client devices;

determining the plurality of zones corresponding to the plurality of sensed signal characteristics; and

assigning a respective plurality of definitions to the plurality of zones.

21. A method for automatically estimating a plurality of zones in a predetermined area associated with a system including a server, multiple transponders and at least one client device configured to communicate with the server, the method including:

sensing at least one signal characteristic associated with at least one of the multiple transponders and the at least one client device;

processing a current context of the at least one client device;

combining the current context and the at least one signal characteristic; and

estimating the plurality of zones corresponding to the at least one transponder and the at least one client device.

22. The method of claim 21, wherein the step of estimating zones further includes refining a location of the client device relative to the predetermined area based on a received sequence of detection of the zones successively occupied by the at least one client device.

23. The method of claim 21, wherein the step of sensing signal characteristics further includes a step of identifying and removing erroneous measurements of signal characteristics that were sensed during the sensing step.

24. The method of claim 21, wherein the step of removing erroneous measurements is performed by filtering the sensed signal characteristics.

25. The method of claim 21, wherein the step of processing the current context of the client device further includes classifying the at least one client device as stationary, slow-moving or fast-moving.

26. The method of claim 21, wherein the step of processing the current context further includes combining the current context and the at least one sensed signal characteristic in order to estimate a corresponding zone with respect to one of the transponders and the client device.

27. The method of claim 21, wherein the step of estimating the zones further includes a step of predicting the zones based on the received signal characteristics and historical data of the signal characteristics.

28. The method of claim 21, wherein the step of estimating the zones further includes a step of modeling motions of the client device using a Markov chain.